Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 951 | MLB | Ke'Bryan Hayes 10 games | CIN vs LAD@CIN | H | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 952 | MLB | Ke'Bryan Hayes 10 games | CIN vs LAD@CIN | RBI | 1.5 | +1300 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 953 | MLB | Kyle Karros 10 games | COL vs SDP@COL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 954 | MLB | Kyle Stowers 10 games | MIA vs MIA@ARI | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 955 | MLB | Kyle Teel 10 games | CWS vs CHW@CLE | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 956 | MLB | Kyren Paris 7 games | LAA vs SEA@LAA | H | 1.5 | +500 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 957 | MLB | Kyren Paris 7 games | LAA vs SEA@LAA | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Lars Nootbaar 10 games | AZ vs MIA@ARI | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 959 | MLB | Luis Campusano 10 games | SD vs SDP@COL | RBI | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 960 | MLB | Luke Keaschall 10 games | MIN vs NYY@MIN | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Marcus Semien 10 games | NYM vs BAL@NYM | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Matt McLain 10 games | CIN vs LAD@CIN | H | 1.5 | +475 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 963 | MLB | Matt McLain 10 games | CIN vs LAD@CIN | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 964 | MLB | Max Clark 10 games | DET vs DET@TOR | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 2.0 | WIN | LOSS | |
| 965 | MLB | Max Muncy 10 games | LAD vs LAD@CIN | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 966 | MLB | Michael Conforto 10 games | CHC vs ATL@CHC | H | 1.5 | +380 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 967 | MLB | Miguel Rojas 10 games | LAD vs LAD@CIN | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 968 | MLB | Miguel Vargas 10 games | CWS vs CHW@CLE | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 969 | MLB | Mike Trout 10 games | LAA vs SEA@LAA | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 970 | MLB | Munetaka Murakami 10 games | CWS vs CHW@CLE | H | 1.5 | +550 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 971 | MLB | Nathan Church 10 games | STL vs SFG@STL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Nathan Lukes 10 games | TOR vs DET@TOR | H | 1.5 | +260 | 0.8 | -0.7 | 0/5 | -0.6 | 26 | F | 1.0 | LOSS | WIN | |
| 973 | MLB | Nathan Lukes 10 games | TOR vs DET@TOR | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 974 | MLB | Nolan Gorman 10 games | STL vs SFG@STL | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 975 | MLB | Osleivis Basabe 10 games | SF vs SFG@STL | H | 1.5 | +300 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 976 | MLB | Osleivis Basabe 10 games | SF vs SFG@STL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | — | PENDING | PENDING | |
| 977 | MLB | Oswald Peraza 10 games | LAA vs SEA@LAA | RBI | 1.5 | +900 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 978 | MLB | Ozzie Albies 10 games | ATL vs ATL@CHC | H | 1.5 | +193 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 979 | MLB | Ozzie Albies 10 games | ATL vs ATL@CHC | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 980 | MLB | Patrick Bailey 10 games | CLE vs CHW@CLE | RBI | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 981 | MLB | Pedro Ramirez 10 games | CHC vs ATL@CHC | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Pete Crow-Armstrong 10 games | CHC vs ATL@CHC | H | 1.5 | +200 | 0.6 | -0.9 | 0/5 | -0.6 | 26 | F | 4.0 | WIN | LOSS | |
| 983 | MLB | Pete Crow-Armstrong 10 games | CHC vs ATL@CHC | RBI | 1.5 | +400 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 4.0 | WIN | LOSS | |
| 984 | MLB | Royce Lewis 10 games | MIN vs NYY@MIN | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | — | PENDING | PENDING | |
| 985 | MLB | Royce Lewis 10 games | MIN vs NYY@MIN | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | — | PENDING | PENDING | |
| 986 | MLB | Ryan McMahon 10 games | NYY vs NYY@MIN | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 987 | MLB | Ryan Waldschmidt 10 games | AZ vs MIA@ARI | H | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 988 | MLB | Ryan Waldschmidt 10 games | AZ vs MIA@ARI | RBI | 1.5 | +1000 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 989 | MLB | Sal Stewart 10 games | CIN vs LAD@CIN | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 990 | MLB | Sam Antonacci 10 games | CWS vs CHW@CLE | RBI | 1.5 | +1000 | 0.2 | -1.3 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 991 | MLB | Samad Taylor 10 games | SD vs SDP@COL | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 992 | MLB | Samuel Basallo 10 games | BAL vs BAL@NYM | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 993 | MLB | Sean Murphy 10 games | ATL vs ATL@CHC | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 1.0 | WIN | LOSS | |
| 994 | MLB | Seiya Suzuki 10 games | CHC vs ATL@CHC | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 995 | MLB | Shay Whitcomb 10 games | SF vs SFG@STL | RBI | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 996 | MLB | Taylor Ward 10 games | SEA vs SEA@LAA | H | 1.5 | +380 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 997 | MLB | Taylor Ward 10 games | SEA vs SEA@LAA | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 998 | MLB | TJ Rumfield 10 games | COL vs SDP@COL | RBI | 0.5 | +195 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 2.0 | WIN | LOSS | |
| 999 | MLB | Tommy Edman 10 games | LAD vs LAD@CIN | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1000 | MLB | Trevor Larnach 10 games | MIN vs NYY@MIN | RBI | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.